The NASA Short-Term Prediction Research and Transition (SPoRT) Center maintains a near-real- time run of the Noah Land Surface Model within the Land Information System (LIS) at 3-km resolution. Soil moisture products from this model are used by several NOAA/National Weather Service Weather Forecast Offices for flood and drought situational awareness. We have implemented assimilation of soil moisture retrievals from the Soil Moisture Ocean Salinity (SMOS) and Soil Moisture Active/ Passive (SMAP) satellites, and are now evaluating the SMAP assimilation. The SMAP-enhanced LIS product is planned for public release by October 2016
The NASA Soil Moisture Active Passive (SMAP) mission has been providing L-band (1.4 GHz) passive mic...
The NASA Short-term Prediction Research and Transition (SPoRT) Center has been running a real-time v...
SMAP (Soil Moisture Active and Passive) radiometer observations at 40 km resolution are routinely as...
Soil moisture retrievals from the Soil Moisture and Ocean Salinity (SMOS) instrument are assimilated...
Soil moisture is a crucial variable for weather prediction because of its influence on evaporation. ...
SPoRT produces real-time LIS soil moisture products for situational awareness and local numerical we...
The Soil Moisture and Ocean Salinity (SMOS) satellite provides retrievals of soil moisture in the up...
Land surface models are important components of numerical weather prediction (NWP) models, partition...
This study compares different methods to extract soil moisture information through the assimilation ...
This study compares different methods to extract soil moisture information through the assimilation ...
The assimilation of remotely sensed soil moisture information into a land surface model has been sho...
The Noah-MP land surface model was run on an equidistant cylindrical grid at a spatial resolution of...
The prime mission phase of National Aeronautics Space Administration's (NASA's) Soil Moisture Active...
This presentation will include results from data assimilation simulations using the NASA-developed L...
NASA's Soil Moisture Active Passive (SMAP) Project now has completed its prime-phase (three years) m...
The NASA Soil Moisture Active Passive (SMAP) mission has been providing L-band (1.4 GHz) passive mic...
The NASA Short-term Prediction Research and Transition (SPoRT) Center has been running a real-time v...
SMAP (Soil Moisture Active and Passive) radiometer observations at 40 km resolution are routinely as...
Soil moisture retrievals from the Soil Moisture and Ocean Salinity (SMOS) instrument are assimilated...
Soil moisture is a crucial variable for weather prediction because of its influence on evaporation. ...
SPoRT produces real-time LIS soil moisture products for situational awareness and local numerical we...
The Soil Moisture and Ocean Salinity (SMOS) satellite provides retrievals of soil moisture in the up...
Land surface models are important components of numerical weather prediction (NWP) models, partition...
This study compares different methods to extract soil moisture information through the assimilation ...
This study compares different methods to extract soil moisture information through the assimilation ...
The assimilation of remotely sensed soil moisture information into a land surface model has been sho...
The Noah-MP land surface model was run on an equidistant cylindrical grid at a spatial resolution of...
The prime mission phase of National Aeronautics Space Administration's (NASA's) Soil Moisture Active...
This presentation will include results from data assimilation simulations using the NASA-developed L...
NASA's Soil Moisture Active Passive (SMAP) Project now has completed its prime-phase (three years) m...
The NASA Soil Moisture Active Passive (SMAP) mission has been providing L-band (1.4 GHz) passive mic...
The NASA Short-term Prediction Research and Transition (SPoRT) Center has been running a real-time v...
SMAP (Soil Moisture Active and Passive) radiometer observations at 40 km resolution are routinely as...